Examining Deep Learning's Effects on Critical Reading and Self-Regulation in Female EFL Students

Authors

  • Khalid Alwahibee Imam Mohammed Bin Saud Islamic University Author
  • Muneera Alotaibi Imam Mohammed Bin Saud Islamic University Author

DOI:

https://doi.org/10.33948/JRLT-KSU-5-1-1

Keywords:

critical reading, deep learning, higher education, self-regulation, Saudi university

Abstract

This study investigated the impact of deep learning-based instructions on critical reading skills and self-regulation among freshman English learners at Imam Mohammed bin Saud Islamic University (IMISU). The research involved eighty Saudi female university students studying English as a foreign language (EFL) at IMISU. The students were divided into an experimental group, which received deep learning-based instruction, and a control group, which followed traditional classroom methods. The study employed a mixed-methods research design, collecting quantitative data through critical reading and self-regulation questionnaires, as well as a posttest. Qualitative data was gathered through class observations. The results indicated that the experimental group outperformed the control group in the posttest, and the self-regulation and critical reading questionnaires yielded positive outcomes. The study concludes with pedagogical implications and recommendations for further research.

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Author Biographies

  • Khalid Alwahibee, Imam Mohammed Bin Saud Islamic University

    Khalid Mohammed Alwahibee is a professor of Curriculum and Instruction with an interest in TESOL and Applied Linguistics the Department of English Language and Literature, College of English Language and Translation, Imam Mohammed bin Saud Islamic University. 
    [email protected]   

     

  • Muneera Alotaibi, Imam Mohammed Bin Saud Islamic University

    Muneera Falah Alotaibi is a postgraduate student in Applied Linguistics at the Department of English Language and Literature, College of English Language and Translation, Imam Mohammed bin Saud Islamic University. [email protected] 

Published

2025-03-02

Issue

Section

Articles